ebnm: Solve the Empirical Bayes Normal Means Problem

Provides simple, fast, and stable functions to fit the normal means model using empirical Bayes. For available models and details, see function ebnm(). Our JSS article, Willwerscheid, Carbonetto, and Stephens (2025) <doi:10.18637/jss.v114.i03>, provides a detailed introduction to the package.

Version:	1.1-38
Depends:	R (≥ 3.3.0)
Imports:	stats, ashr, mixsqp, truncnorm, trust, horseshoe, deconvolveR, magrittr, rlang, dplyr, ggplot2
Suggests:	testthat, REBayes, knitr, rmarkdown, cowplot, mcmc, numDeriv
Published:	2025-09-05
DOI:	10.32614/CRAN.package.ebnm
Author:	Jason Willwerscheid [aut], Matthew Stephens [aut], Peter Carbonetto [aut, cre], Andrew Goldstein [ctb], Yusha Liu [ctb]
Maintainer:	Peter Carbonetto <peter.carbonetto at gmail.com>
BugReports:	https://github.com/stephenslab/ebnm/issues
License:	GPL (≥ 3)
URL:	https://github.com/stephenslab/ebnm
NeedsCompilation:	no
Citation:	ebnm citation info
Materials:	README
CRAN checks:	ebnm results

Documentation:

Reference manual:	ebnm.html , ebnm.pdf
Vignettes:	An analysis of weighted on-base averages using the ebnm package (source, R code) Extending ebnm with custom ebnm-style functions (source, R code) Introduction to the empirical Bayes normal means model via shrinkage estimation (source, R code)

Downloads:

Package source:	ebnm_1.1-38.tar.gz
Windows binaries:	r-devel: ebnm_1.1-2.zip, r-release: ebnm_1.1-2.zip, r-oldrel: ebnm_1.1-2.zip
macOS binaries:	r-release (arm64): ebnm_1.1-38.tgz, r-oldrel (arm64): ebnm_1.1-38.tgz, r-release (x86_64): ebnm_1.1-38.tgz, r-oldrel (x86_64): ebnm_1.1-38.tgz
Old sources:	ebnm archive

Reverse dependencies:

Reverse depends:	flashier
Reverse suggests:	mashr

Linking:

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